Artifact removal for physiological signals via wavelets

En-Bing Lin; Oluremi Abayomi; Keshab Dahal; Patrick Davis; Nonhle Channon Mdziniso

doi:10.1117/12.2244906

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29 August 2016 Artifact removal for physiological signals via wavelets

En-Bing Lin, Oluremi Abayomi, Keshab Dahal, Patrick Davis, Nonhle Channon Mdziniso

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Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 1003355 (2016) https://doi.org/10.1117/12.2244906
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

Abstract

In order to analyze brain activity signals, it is important to remove any artifact of the obtained data so that we can further provide diagnosis of possible symptoms. There are many different ways to do denoising of the given signals. In this paper, we test several biosignals and obtain an optimal ways to denoise the data and perform time frequency analysis of an EEG signal.

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En-Bing Lin, Oluremi Abayomi, Keshab Dahal, Patrick Davis, and Nonhle Channon Mdziniso " Artifact removal for physiological signals via wavelets", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003355 (29 August 2016); https://doi.org/10.1117/12.2244906

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